Fast, memory-efficient attention column reduction (e.g., sum, mean, max)

Stable Diffusion web UI

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Stable Diffusion web UI

This repo collects the articles for text attribute transfer

Run a conference from your backyard.

Data augmentation for NLP

[Under Progress] Code & Data for the AAAI 2020 Paper "Likelihood Ratios and Generative Classifiers For Unsupervised OOD Detection In Task-Based Dialog" - Varun Gangal, Abhinav Arora, Arash Einolgho…

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

ACL2020 Tutorial: Open-Domain Question Answering

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

Longformer: The Long-Document Transformer

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

🎯 A comprehensive gradient-free optimization framework written in Python

Must-read Papers on Textual Adversarial Attack and Defense

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Easy-to-use codes for downloading transcripts for TED talks.

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Code for "Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach" (ACL 2018)

Quickly extract multi-word phrases from a corpus

BERT-NER (nert-bert) with google bert https://github.com/google-research.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Language model with phrase induction

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

95.47% on CIFAR10 with PyTorch